- 专利标题: ADAPTIVE TRAINING SYSTEM, METHOD AND APPARATUS
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申请号: US16878562申请日: 2020-05-19
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公开(公告)号: US20210005044A1公开(公告)日: 2021-01-07
- 发明人: Mark Falash , Eytan Pollak , Michael Barnoske , George Rovny , Coy Stewart , Robert Ducharme
- 申请人: Mark Falash , Eytan Pollak , Michael Barnoske , George Rovny , Coy Stewart , Robert Ducharme
- 申请人地址: US AZ Sun City West; US FL Oviedo; US FL Orlando; US TX Weatherford; US TX Carrollton; US TX Bedford
- 专利权人: Mark Falash,Eytan Pollak,Michael Barnoske,George Rovny,Coy Stewart,Robert Ducharme
- 当前专利权人: Mark Falash,Eytan Pollak,Michael Barnoske,George Rovny,Coy Stewart,Robert Ducharme
- 当前专利权人地址: US AZ Sun City West; US FL Oviedo; US FL Orlando; US TX Weatherford; US TX Carrollton; US TX Bedford
- 主分类号: G07F9/10
- IPC分类号: G07F9/10 ; G07F17/00
摘要:
A system and method for training a student employ a simulation station that displays output to the student and receives input. The computer system has a rules engine operating on it and computer accessible data storage storing (i) learning object data including learning objects configured to provide interaction with the student at the simulation system and (ii) rule data defining a plurality of rules accessed by the rules engine. The rules data includes, for each rule, respective (a) if-portion data defining a condition of data and (b) then-portion data defining an action to be performed at the simulation station. The rules engine causes the computer system to perform the action when the condition of data is present in the data storage. For at least some of the rules, the action comprises output of one of the learning objects so as to interact with the student. The system may be networked with middleware and adapters that map data received over the network to rules engine memory.
公开/授权文献
- US11948475B2 Adaptive training system, method and apparatus 公开/授权日:2024-04-02
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